Demo Data from EDBT 2026 / reviewers in the wild / expert
Thomas Yip-Po Lam
dblp:440/2690
· DBLP profile ↗
1ranked-venue papers
1as first author
1since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
1 paper |
Efficient and distributed learning · 100% | |
| Computer networks
1 paper |
Internet of things and sensor networks · 100% |
Topics — the 4 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Machine learning › Efficient and distributed learning › federated learning
communication-efficient federated learning |
1.0 | 1 | 2026 | MELD: Mentee-Elastic Logit Distillation for Communication-Efficient Federated Learning in Heterogeneous IoT · INFOCOM 2026 |
Machine learning › Efficient and distributed learning
federated learning |
1.0 | 1 | 2026 | MELD: Mentee-Elastic Logit Distillation for Communication-Efficient Federated Learning in Heterogeneous IoT · INFOCOM 2026 |
Machine learning › Efficient and distributed learning › model compression
knowledge distillation |
1.0 | 1 | 2026 | MELD: Mentee-Elastic Logit Distillation for Communication-Efficient Federated Learning in Heterogeneous IoT · INFOCOM 2026 |
Machine learning › Efficient and distributed learning › model compression › knowledge distillation
model distillation |
1.0 | 1 | 2026 | MELD: Mentee-Elastic Logit Distillation for Communication-Efficient Federated Learning in Heterogeneous IoT · INFOCOM 2026 |
Methods — techniques the papers use, named apart from their topics
logit distillation · 2.0knowledge distillation · 2.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | MELD: Mentee-Elastic Logit Distillation for Communication-Efficient Federated Learning in Heterogeneous IoT
Thomas Yip-Po Lam, Ivan Wang-Hei Ho, Yuyi Mao |
INFOCOM | 1 |